How fast can a Montréal business actually implement AI?

The short answer, by size of build

One to two weeks is realistic for a single, sharply scoped workflow. An intake and response system for inbound inquiries. A quoting flow that collects the right details up front. A booking or reminder sequence. A catalogue that answers the question your team keeps answering by hand. These ship fast because the scope is one thing, the integration surface is small, and the decisions required from you are few.

Three to four weeks covers most real builds: a system that touches several tools, has an AI layer doing something with judgment in it, and changes how a part of the business actually operates. A dealership back office with a website fed from it. A support agent wired into live order data. A storefront rebuilt with custom tooling replacing rented apps.

Longer than that means either a genuinely large platform build or a project that should have been phased. Anything past about six weeks without something live is a scoping problem, not a complexity problem, and the right response is to cut the first release rather than extend the schedule.

Those ranges are not aspirational. They are what the last several builds took, and we describe the sequencing in more detail on the process page.

What actually makes a project slow

Decisions, not development. The single biggest delay in an automation project is waiting for someone to decide what should happen in an edge case. What does the system do when a quote request has no photos? Who gets the escalation at 9pm? Do we decline out-of-area jobs automatically or route them? These take minutes to answer and weeks to wait for.

Access. Credentials, API keys, admin rights on the CRM, permission on the ad account. Getting access sorted in the first two days is worth more to the schedule than anything else you can do.

Scope that grows sideways. Every project has a moment where someone says "while we are in there, could it also...". Sometimes the answer is yes and it costs a day. Usually it is the thing that turns a three-week build into a seven-week one, and the right move is to write it down for the next phase.

Legacy systems that do not want to talk. Some platforms expose everything, some expose almost nothing. Which one you have is established in the first days rather than discovered in week three, because it changes what is possible before anyone commits.

Copy and language. For a customer-facing system, writing what it says, in both French and English, and getting it approved, is frequently the longest single task. Not because it is hard, but because it needs the owner's attention and the owner is busy.

What makes a project fast

Start with the workflow where speed is worth money. For most businesses that is inbound response, because it is measurable, it is high frequency, and the payback is immediate. It is also usually the simplest to build, which is a rare alignment.

Build on the stack you already run. Replacing tools adds a migration to a build. Most projects should connect what you already pay for and only replace something when it is genuinely the bottleneck.

Put one thing live and let it run. A system tested against real traffic for a week teaches you more than a month of internal review, and it starts earning while the rest is built.

Give one person authority to decide. Committees are slower than complexity. The projects that ship in two weeks have one owner who can answer an edge-case question the same day.

Say no to the second idea until the first one works. This is the hardest one, and it is the difference between a business that has a system running next month and one that has a plan.

A realistic four-week sequence

Days 1 to 3. Map the operation, agree the first workflow, settle the edge cases, get access. This is where the schedule is won or lost.

Week 1. The core flow gets built and tested against real inputs. Copy gets drafted in both languages and sent for approval, early, because it will come back with changes.

Week 2. The first workflow goes live, narrowly. Often after hours only, or on one channel, so real behaviour is observed with limited exposure. Transcripts and outcomes get reviewed daily.

Week 3. Scope widens based on what the first week showed. Escalation rules tighten. The second workflow starts, usually the one the first one revealed as the next bottleneck.

Week 4. The rest goes live, documentation is written for your team, and handover happens. You own the system, the access and the documentation, and nothing about running it should depend on us.

That shape holds whether you are a dealership, a store or a venue. What changes is which workflow goes first, which is exactly the conversation we have on the first call. If you want the local context, including how Loi 25 and Loi 96 shape a customer-facing build here, that is covered on our Montréal page.

Where Montréal changes the timeline

Two local factors add real work to a customer-facing build, and any vendor quoting you a schedule without accounting for them is quoting you the wrong schedule.

Bilingual copy doubles the writing and the review. Every message, script and interface label exists twice, written natively rather than translated, and both versions need approval. Building it bilingual from day one costs a few days. Retrofitting it later costs several times that, because every sequence already in production has to be revised.

Loi 25 adds decisions rather than delay: consent wording, what gets recorded and kept, whether the system decides or prepares a decision. Made at scoping, those are a conversation. Made after launch, they are a rebuild of something customers already use.

Neither pushes a four-week build to eight. Both push a build that ignored them into an expensive second phase.